QTL Mapping Of Storability In Rice Using Advanced Backcross Population

Rice,a staple food in China,is one of the most important food crops in the world.So seeds need to be stored to guarantee the security in agriculture productivity and rice need to be stored to guarantee the food security.Howerver,long storage of seeds tends to decrease in vigor and viability,and long storage of rice tends to deteriorate in quality.Conducting genetic research on rice storability and mapping the QTL for rice storability can help solve the problem of rice and seeds storage through developing newvariaties with better storability properties by molecular design.The BC₃F₉ population containing 160 individules with Suyunuo as recurrent parent and Guichao2as non-recurrent parent were developed in Our lab previously,constructed molecular marker linkage map,and genotyped all lines on each locus.In this study,seed vigour?viability?and rice quality of each lines were measured after artificial accelerated aging of the seeds which stored at low temperature for 6months after harvest.One-way analysis of variance based on trait to genotype?p<0.01?was applied to detect storage-tolerant QTL.The results are as follows:1.A total of 140 QTLs related to rice seed vigor?viability?were detected.Among them,10 QTLs for germination percentage were detected,with the phenotypic variation explained?PVE?by a single QTL ranging between 9.21%²0.94%.10 QTLs for germination momentum were detected,with PVE by a single QTL ranging between 8.33%¹9.00%.27 QTLs for germination index were detected,with PVE by a single QTL ranging between 5.15%¹2.41%.37 QTLs for mean germination time were detected,with PVE by a single QTL ranging between 5.07%¹8.44%.26 QTLs for peak germination day were detected,with PVE by a single QTL ranging between 5.44%¹7.62%.11 QTLs for peak germination momentum were detected,with PVE by a single QTL ranging between 7.16%¹3.36%.19QTLs for total dissolved solids were detected,with PVE by a single QTL ranging between5.74%¹5.48%.13 out of 140 QTLs above controlled 3⁹ traits respectively,among them,a common QTL in the interval of molecular marker RM5356 on the chromosome number two was detected,which controlled germination percentage after aging?GPA?,aging index of germination percentage?AIGP?,germination momentum after aging?GMA?,aging index of germination momentum?AIGM?,germination index after aging?GIA?,aging index of germination index?AIGI?of QTLs,respectively,and which explained phynotypic variation of 10.72%,11.63%,12.41%,12.48%,14.20%and 13.14%,respectively.A common QTL in the interval of molecular marker RM8277 on the chromosome number three was detected,which controlled AIGP,AIGM,AIGI,aging index of peak germination momentum?AIPGM?,GPA,GMA,GIA and peak germination momentum after aging?PGMA?of QTLs,respectively,and which explained phynotypic variation of 9.07%,10.77%,10.77%,8.95%,9.21%,10.21%,10.64%and 9.63%,respectively.A common QTL in the interval of molecular marker RM287on the chromosome number eleven was detected,which controlled germination percentage,germination momentum,peak germination day,total dissolved solids content,mean germination time after aging?MGTA?,peak germination day afte aging?PGDA?,aging index of mean germination time?AIMGT?,aging index of peak germination day?AIPGD?of QTLs,respectively,and which explained phynotypic variation of 20.94%,17.56%,10.08%,10.86%,16.51%,11.50%,16.13%and 17.71%,respectively.2.A total of 92 QTLs related to rice quality were detected.Among them,13 QTLs for malondialdehyde content were detected,with PVE by a single QTL ranging between 5.17%¹1.32%.10 QTLs for fatty acid value were detected,with PVE by a single QTL ranging between 7.67%¹7.31%.19 QTLs for albumin content were detected,with PVE by a single QTL ranging between5.52%¹3.88%.32 QTLs for globulin content were detected,with PVE by a single QTL ranging between 5.93%¹7.76%.2 QTLs for gluten content were detected,with PVE by a single QTL ranging between 8.36%¹0.41%.16 QTLs for prolamin content were detected,with PVE by a single QTL ranging between 5.73%¹2.25%.7 out of 92 QTLs above controlled 3⁷ traits respectively,among them,a common QTL in the interval of molecular marker RM6321 on the chromosome number one was detected,which controlled globulin content after aging?GLBA?and aging index of globulin content?AIGLB?of QTLs,respectively,and which explained phynotypic variation of 8.47%and14.08%,respectively.A common QTL in the interval of molecular marker 9-3M on the chromosome number nine was detected,which controlled prolamin content after aging?PLAA?and aging index of prolamin content?AIPLA?of QTLs,respectively,and which explained phynotypic variation of 12.25%and 8.76%,respectively.A common QTL in the interval of molecular marker 10-21M on the chromosome number ten was detected,which controlled fatty acid value,albumin content,prolamin content,fatty acid value after aging?FAVA?,GLBA,PLAA and AIPLA of QTLs,respectively,and which explained phynotypic variation of 10.58%,12.45%,10.65%,12.27%,8.16%,7.92%and 17.25%,respectively.